Computational immune profiling in lung adenocarcinoma reveals reproducible prognostic associations with implications for immunotherapy.

ABSTRACT: Non-small cell lung cancer is one of the leading causes of cancer-related death in the world. Lung adenocarcinoma, the most common type of non-small cell lung cancer, has been well characterized as having a dense lymphocytic infiltrate, suggesting that the immune system plays an active role in shaping this cancer's growth and development. Despite these findings, our understanding of how this infiltrate affects patient prognosis and its association with lung adenocarcinoma-specific clinical factors remains limited. To address these questions, we inferred the infiltration level of six distinct immune cell types from a series of four lung adenocarcinoma gene expression datasets. We found that naive B cell, CD8+ T cell, and myeloid cell-derived expression signals of immune infiltration were si

SUBMITTER: Varn FS 

PROVIDER: S-EPMC5980421 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature